Students read about the changes in the "new money" and then create a graph to represent various combinations of currency produced.

Learners collect, graph and analyze data. In this statistics instructional activity, students measure the heart beat of a person as they listen to music. They use the CBL and TI to create a graph, analyzing the outcome.

Young scholars complete their examination over the Jewish Diaspora. Using population figures, they discover the importance of percentages in exploring trends. They use their own ethnic group and determine how it is represented in the...

High schoolers work together in groups to collect data in relationship to how much water marbles can displace. After the experiment, they use the data to identify the linear equation to determine the best-fit line. They use the...

Use this lesson, practice exercise, and teacher resource in planning instruction on scatter plots and line of best fit. In the lessons, you'll find definitions and examples of ways to make a scatter plot, determine correlations, and find...

This site gives information on scatter plots, along with examples showing high positive correlation, low negative correlation, high negative correlation, no correlation, and low positive correlation.

An explanation of scatter plots followed by examples of the many different kinds of scatter plots.

Explains, with examples, what scatter plots are and how to interpret the data. Discusses trends, interpolation and extrapolation, and correlation. Includes a set of practice questions.

A comprehensive guide for learning all about scatter plots with definitions, how to construct and solve them, types of scatter plots, solved examples, and practice questions.

A scatterplot is a type of data display that shows the relationship between two numerical variables. Each member of the dataset gets plotted as a point whose x-y coordinates relates to its values for the two variables.

The statistics resource explores scatter plots and correlation. Students learn about the concepts through notes and detailed examples. The resource consists of practice exercises to check for comprehension of the topics.

Get independent practice working with scatter plots. Each incorrect response gets a text box explanation and another try. Correct responses are confirmed.

Students input data relating the values of one variable associated with values of another and use these data to generate a scatterplot. From the scatterplot, they determine whether there is a correlation between the two variables and...

Twenty problems present a variety of practice determining correlation based on data in a scatter plot and using lines of best fit with given data. They are given with each step to the solution cleverly revealed one at a time. You can...

This page gives a description of scatter plots along with examples. Also provides explanations and statistics to aid student understanding.

Students are introduced to correlation between two variables and the line of best fit.

Given an experimental situation, the student will write linear functions that provide a reasonable fit to data to estimate the solutions and make predictions.

This is a quick class opener. That allow students to practice reading scatter plots and determining the correlation among data points.

This page from Ask Dr. Math describes the correlation of a scatterplot and gives an example of one with no correlation.

[Free Registration/Login Required] This lesson is a discovery lesson where the students have to create a scattered plot and find a linear correlation that approximates the golden ratio.

This task addresses many standards regarding the description and analysis of bivariate quantitative data, including regression and correlation. Given a scatter plot, young scholars will answer a variety of questions about linear...

A tutorial on how to find the line of best fit or least-squares regression line for a set of data in a scatter plot using different methods and calculations.

Create your own scatter plot or use real-world data and try to fit a line to it. Explore how individual data points affect the correlation coefficient and best-fit line.

The correlation coefficient r measures the direction and strength of a linear relationship. Calculating r is pretty complex, so we usually rely on technology for the computations. We focus on understanding what r says about a scatterplot.